This course helps participants build practical, job ready skills with Google Gemini AI, from first prompts to advanced workflows. You will learn how to prompt effectively, work with files and multimedia, create custom Gems, use Canvas and Memory, and apply advanced features such as Deep Research and NotebookLM to research, analysis, writing, and knowledge management tasks.
The course also covers how to use Gemini within Google Workspace tools such as Docs, Sheets, Slides, Gmail, and Drive, and how to set up automations with Extensions, Scheduled Actions, and Workspace Studio. Through guided exercises and a capstone project, you will build a personalized Gemini system aligned to your role and leave with practical deliverables you can apply in your workplace.
What You Will Learn
- Craft structured prompts and employ advanced techniques including Deep Think mode and Google Search grounding
- Create Gems, use Canvas for interactive content, and configure Memory for persistent context
- Use Deep Research to produce automated, multi-page research reports and transform them into interactive deliverables
- Build source grounded knowledge bases with NotebookLM and generate Audio Overviews
- Work with Gemini's side panel in Google Docs, Sheets, Slides, Gmail, and Drive for real-time AI-assisted work
- Set up Extensions, Scheduled Actions, and Workspace Studio for cross application automation
- Build a complete, personalized Gemini system for your own role, from task audit through finished deliverable
Course Outline
Getting Started with Gemini
Examine how Gemini processes prompts through large language models, compare the model tiers and subscription plans, and complete your first structured AI conversation.
Effective Prompting
Apply the five-component prompt structure across writing, summarization, analysis, research, and problem-solving, and learn to work with uploaded files while avoiding common prompting mistakes.
Custom Gems
Design custom gems with specialized instructions and knowledge bases, apply a decision framework for when to create a gem versus a standard conversation, and build your first AI expert.
Canvas, Memory, and Usage
Create and edit interactive content in Canvas, configure Memory for persistent context across conversations, and apply credit-management strategies across the model tiers.
Advanced Prompting Techniques
Apply role-based, chain-of-thought, multi-step, and interview prompting techniques alongside search grounding and DeepThink for complex professional tasks.
Comparing AI Tools
Evaluate Gemini, Claude, ChatGPT, and Copilot through a task-based decision framework that weighs where your data lives, tool capabilities, and organizational AI policies.
Deep Research
Run Deep Research queries that synthesize dozens of web sources and uploaded files into cited, multi-page reports, then refine the deliverable through the Canvas workflow.
NotebookLM
Build source-grounded NotebookLM knowledge bases with citation-backed answers, generate podcast-style audio overviews, and integrate notebooks with Gemini for production-quality output.
Gemini in Google Workspace
Use Gemini's side panel in Docs, Sheets, Slides, and Gmail for inline writing help, data analysis, presentation generation, and cross-app content workflows.
Extensions
Connect the Gmail, Calendar, and Drive extensions to run cross-extension queries for meeting preparation, email summarization, and document search.
Automation and Workflows
Configure Chrome's Gemini side panel for web research, create scheduled actions for recurring tasks, and build multi-step automations in Workspace Studio.
Privacy, Security, and Responsible Use
Assess Gemini's data-access boundaries and retention policies, review organizational admin controls, and recognize prompt-injection threats when processing untrusted content.
Industry Applications
Apply structured prompts, gems, Canvas, and extensions to industry-specific professional scenarios drawn from data analysis, marketing, HR, project management, finance, and government policy.
Capstone Project
Build a complete personal Gemini system by auditing weekly tasks, creating gems, organizing NotebookLM notebooks, verifying extensions, setting up automation, and completing an end-to-end workflow.
Resources and Next Steps
Review key AI limitations including hallucination and privacy tradeoffs, access continued-learning resources, and adopt a four-part daily action plan for sustained Gemini use.
This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
